The one screen that tells you how the week actually went
Every number below either came out of QuickBooks, Amazon, or Shopify this week, or out of the same Bearish-scenario budget model your team already tracks against. Nothing here is a guess — where a figure isn't available yet, it says so.
Weeks 1–52, 2026
● actuals in ● partial/refreshing ● budget only (not yet occurred)Week 1
| Channel | Actual | Bearish model | Variance |
|---|
Spend & efficiency, same week
| Metric | This week | Prior week |
|---|
Two marketplaces, side by side — sales and account risk
Rolling 30-day sales by channel, plus Amazon's account-health scorecard against Amazon's own published suspension thresholds. This is a live pull, refreshed on its own cadence — separate from the weekly budget-model figures on the Overview tab, so the two won't always match to the dollar.
Amazon account health
Walmart integration status
Customer service is a leading indicator, not a support queue
Ten concrete, dated actions pulled directly from this week's listing-quality scan, inventory pull, and review data. Check them off as they're done — the ring and bar above the list, and the glowing spine beside it, both move live.
0 of 10 complete this week
Recomputes the instant you check an item — nothing to save or submit.
Top 10 customer-facing metrics, by channel
Side-by-side Amazon vs. Shopify. Where a metric genuinely isn't retrievable from either platform's current connection, it's marked as such rather than filled with a guess.
| Metric | Amazon | Shopify |
|---|
Every item has a status. Twenty-five of them are carrying the business.
The ladder below is a traffic light for inventory risk, not popularity. The table beneath it is the top 25 SKUs by revenue across all three channels — click any column to sort.
Top 25 SKUs by revenue, all channels
Each row keeps its own reporting window (Amazon = 13 weeks, Shopify = 91 days, QuickBooks = July close) rather than forcing mismatched periods into one false total — the window is shown on every row.
| #↕ | Product↕ | Channel↕ | Window↕ | Revenue↕ | Velocity↕ | Stock status↕ |
|---|
The growth math, and where it's straining
Blended ROAS, conversion, and traffic pulled straight from Amazon Ads and Shopify analytics, set against DTC/supplement-industry benchmarks pulled from public research — clearly separated from your own confirmed numbers.
Blended ROAS — last 13 weeks
weeks 19–31, 2026Shopify sessions — last 13 weeks
weeks ending May 4 – Aug 3Retention & lifetime-value signal
Shopify's tools don't expose a true cohort LTV figure for this store, so rather than fabricate one precise number, here's the honest proxy picture.
Industry & competitor benchmarks
External research, not Herbal Goodness data — every row cites its source. Use this to judge whether a metric above is actually a problem or just how the category runs.
| Metric | Herbal Goodness (confirmed) | Industry benchmark | Read | Source |
|---|
Newsletters, flows, and where automated revenue is leaking
This week's newsletter sends and their revenue, every live flow measured against its own 90-day weekly average (not a generic benchmark), and concrete suggestions for what to fix and what to send next.
This week's newsletter sends
Aug 3–9, 2026, send-date attribution (matches the Klaviyo UI). One additional 1-recipient internal test send is excluded from all counts and revenue above.
| Campaign | Sent | Recipients | Open rate | Click rate | Conversions | Revenue |
|---|
Flow anomalies — this week vs. each flow's own 90-day weekly average
Every live flow with meaningful volume, compared against itself over the trailing 90 days (divided into weekly averages) — not against a generic industry benchmark. Flows sending under ~15 recipients/week aren't included; at that volume, one order swings the numbers too much to call anything an anomaly.
Audience segmentation — 90-day campaign performance by list/segment
Which audience a newsletter is sent to matters more than almost anything else on this page. Revenue per recipient is the cleanest single number to sort by.
| Segment / list | Recipients (90d) | Open rate | Click rate | Revenue / recipient |
|---|
Suggested flow fixes
Ranked by dollar impact and how directly the fix is suggested by the data above — not a generic best-practices list.
Suggested newsletters & content
Built from the 90-day send-name history and the gaps this week's data surfaced.